基于数量化理论Ⅲ的滑坡发育影响因素及耦合作用强度分析
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摘要
探讨西藏朗县研究区内滑坡发育的地质环境影响因素,借助GIS技术将影响因素指标量化,采用数量化理论III对滑坡发育的影响因素及其耦合作用强度进行分类分析。结果表明,对区内滑坡发育起主导作用的是降雨因素、坡体岩性、平均坡度、坡体前缘河流影响距,起重要作用的是坡体高度、外营力与人类工程活动、地震烈度因素,起一般作用的是土地利用因素;确定出年均降雨量、含残坡积物和绢云母千枚岩的滑坡体岩性、200m内的河流影响距、35°～45°的平均坡度、地震烈度、高于200m的坡体高度因素为滑坡发育的主控因素,可为区内开展滑坡评价工作提供依据;区内29个滑坡的影响因素耦合作用强度以±0.01为界进行强、中等、弱分级,耦合作用强度越高,滑坡发育程度及潜在危险性越高,对区内防灾减灾具有重要的指导意义;对分析结果以实地调查的可靠性验证,表明数量化理论III的可行性与适用性,为滑坡灾害影响因素的研究提供新的思路。
Geographic information system(GIS) and the third theory of quantification are used to analyze the influential factors of landslide development and the coupling intensity of the factors,and to discuss the geological environment factors of landslide development in the study area of Langxian in Tibet.The results show that rainfall,lithology,average slope and the distance from the slope forward to the river are the leading factors of landslide development.The height of slope,outside force,human engineering activities and seismic intensity play important roles in landslide.The land use affects the landslide slightly.Average annual rainfall,the landslide lithology with residual slope wash and sericite phyllite,the distance within 200 m from the slope forward to the river,the average slope of 35°-45°,seismic intensity and the height of slope higher than 200 m can be taken as the controlling factors which can provide reference for the assessment of landslide.The coupling intensity of influential factors of 29 landslides in the study area can be divided into 3 levels as strong,medium and weak which are bounded by±0.01.The higher the coupling intensity is,the higher the risk of landslide and the degree oflandslide development are.The above-mentioned conclusions are important to the disaster prevention and mitigation.The analytical results have been verified by site investigation which certifies the feasibility and the adaptation of third theory of quantification and they can provide new idea for analyzing the factors of landslides.
Geographic information system(GIS) and the third theory of quantification are used to analyze the influential factors of landslide development and the coupling intensity of the factors,and to discuss the geological environment factors of landslide development in the study area of Langxian in Tibet.The results show that rainfall,lithology,average slope and the distance from the slope forward to the river are the leading factors of landslide development.The height of slope,outside force,human engineering activities and seismic intensity play important roles in landslide.The land use affects the landslide slightly.Average annual rainfall,the landslide lithology with residual slope wash and sericite phyllite,the distance within 200 m from the slope forward to the river,the average slope of 35°-45°,seismic intensity and the height of slope higher than 200 m can be taken as the controlling factors which can provide reference for the assessment of landslide.The coupling intensity of influential factors of 29 landslides in the study area can be divided into 3 levels as strong,medium and weak which are bounded by±0.01.The higher the coupling intensity is,the higher the risk of landslide and the degree oflandslide development are.The above-mentioned conclusions are important to the disaster prevention and mitigation.The analytical results have been verified by site investigation which certifies the feasibility and the adaptation of third theory of quantification and they can provide new idea for analyzing the factors of landslides.
引文
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[14]王卫红,张文君.基于遥感与数量化II类的滑坡危险度划分[J].水土保持学报,2009,29(2):165-167.(WANG Weihong,ZHANG Wenjun.Landslide occurring probability decision based on remote sensing and quantification theory II[J].Bulletin of Soil and Water Conservation,2009,29(2):165-167.(in Chinese))
[15]董文泉,周光亚,夏立显.数量化理论及其应用[M].长春:吉林人民出版社,1979.(DONG Wenquan,ZHOU Guangya,XIALixian.Theory of quantification and its application[M].Changchun:Jilin People′s Publishing House,1979.(in Chinese))
[16]张许良,张子戌,袁崇孚,等.利用数量化理论预测瓦斯含量时反应度的取值方法[J].焦作工学院学报(自然科学版),2001,20(1):8-13.(ZHANG Xuliang,ZHANG Zixu,YUAN Chongfu,et al.The method of choosing reaction degree when the application of the theory of quantification in gas content forecast[J].Journal of Jiaozuo Institute of Technology(Natural Science),2001,20(1):8-13.(in Chinese))
[2]单新建,叶洪,李焯芬,等.基于GIS的区域滑坡危险性预测方法与初步应用[J].岩石力学与工程学报,2002,21(10):1507-1514.(SHAN Xinjian,YE Hong,LEE C F,et al.Prediction method of dangerous areas of regional landslide based on GIS and its application[J].Chinese Journal of Rock Mechanics and Engineering,2002,21(10):1507-1514.(in Chinese))
[3]高克昌,崔鹏,赵纯勇,等.基于地理信息系统和信息量模型的滑坡危险性评价——以重庆万州为例[J].岩石力学与工程学报,2006,25(5):991-996.(GAO Kechang,CUI Peng,ZHAO Chunyong,et al.Landslide hazard evaluation of Wanzhou based on GIS information value method in the three gorges reservoir[J].Chinese Journal of Rock Mechanics and Engineering,2006,25(5):991-996.(in Chinese))
[4]谭儒蛟,胡瑞林,刘衡秋,等.FCJ-GIS动力区划模型及其在斜坡灾害危险性评价中的应用[J].岩石力学与工程学报,2006,25(12):2552-2558.(TAN Rujiao,HU Ruilin,LIU Hengqiu,et al.FCJ-GIS Geodynamic zonation model and its application to risk evaluation of slope hazards[J].Chinese Journal of Rock Mechanics and Engineering,2006,25(12):2552-2558.(in Chinese))
[5]王纯祥,蒋宇静,谢谟文,等.基于GIS区域边坡失稳灾害预测与评价[J].岩石力学与工程学报,2008,27(12):2449-2454.(WANG Chunxiang,JIANG Yujing,XIE Mowen,et al.Prediction and assessment of regional slope-failure hazard based on GIS[J].Chinese Journal of Rock Mechanics and Engineering,2008,27(12):2449-2454.(in Chinese))
[6]吴树仁,金逸民,石菊松,等.滑坡预警判据初步研究—以三峡库区为例[J].吉林大学学报(地球科学版),2004,34(4):596-600.(WU Shuren,JIN Yimin,SHI Jusong,et al.A primary study of landslide warning criterion[J].Journal of Jilin University(Earth Science Edition),2004,34(4):596-600.(in Chinese))
[7]王卫东,陈燕平,钟晟.应用CF和Logistic回归模型编制滑坡危险性区划图[J].中南大学学报(自然科学版),2009,40(4):1127-1132.(WANG Weidong,CHEN Yanping,ZHONG Sheng.Landslide susceptibility mapped with CF and Logistic regression model[J].Journal of Central South University(Science and Technology),2009,40(4):1127-1132.(in Chinese))
[8]李晓,李守定,陈剑,等.地质灾害形成的内外动力耦合作用机制[J].岩石力学与工程学报,2008,27(9):1792-1806.(LI Xiao,LI Shouding,CHEN Jian,et al.Coupling effect mechanism of endogenic and exogenic geological processes of geological hazards evolution[J].Chinese Journal of Rock Mechanics and Engineering,2008,27(9):1792-1806.(in Chinese))
[9]兰恒星,伍法权,周成虎,等.基于GIS的云南小江流域滑坡因子敏感性分析[J].岩石力学与工程学报,2002,21(10):1500-1506.(LAN Hengxing,WU Faquan,ZHOU Chenghu,et al.Analysis of susceptibility of GIS based landslide triggering factors in Yunnan Xiaojiang watershed[J].Chinese Journal of Rock Mechanics and Engineering,2002,21(10):1500-1506.(in Chinese))
[10]李雪平,唐辉明.贝叶斯信息标准在滑坡因子敏感性分析中的应用[J].岩土力学,2006,27(8):1393-1397.(LI Xueping,TANG Huiming.Application of Bayesian information criterion to sensitivity analysis of landslide factor[J].Rock and Soil Mechanics,2006,27(8):1393-1397.(in Chinese))
[11]薛天放,杨庆,栾茂田.基于GIS技术的滑坡空间分布的分形特征研究[J].岩土力学,2007,28(2):347-354.(XUE Tianfang,YANG Qing,LUAN Maotian.Research on fractal characters of spatial distribution of landslide based on GIS[J].Rock and Soil Mechanics,2007,28(2):347-354.(in Chinese))
[12]周国云,陈光齐.基于GIS和数量化理论II的滑坡危险性预测[J].岩石力学与工程学报,2008,27(12):2494-2500.(ZHOU Guoyun,CHEN Guangqi.Landslide risk prediction based on coupling GIS and second theory of quantification[J].Chinese Journal of Rock Mechanics and Engineering,2008,27(12):2494-2500.(in Chinese))
[13]汪茜,李广杰.数量化理论在泥石流灾害预测预报中的应用——以吉林和龙市泥石流为例[J].中国地质灾害与防治学报,2006,18(2):85-88.(WANG Qian,LI Guangjie.Application of quantification theory in forecasting debris flows—an example of Heleng City,Jilin Province[J].The Chinese Journal of Geological Hazard and Control,2006,18(2):85-88.(in Chinese))
[14]王卫红,张文君.基于遥感与数量化II类的滑坡危险度划分[J].水土保持学报,2009,29(2):165-167.(WANG Weihong,ZHANG Wenjun.Landslide occurring probability decision based on remote sensing and quantification theory II[J].Bulletin of Soil and Water Conservation,2009,29(2):165-167.(in Chinese))
[15]董文泉,周光亚,夏立显.数量化理论及其应用[M].长春:吉林人民出版社,1979.(DONG Wenquan,ZHOU Guangya,XIALixian.Theory of quantification and its application[M].Changchun:Jilin People′s Publishing House,1979.(in Chinese))
[16]张许良,张子戌,袁崇孚,等.利用数量化理论预测瓦斯含量时反应度的取值方法[J].焦作工学院学报(自然科学版),2001,20(1):8-13.(ZHANG Xuliang,ZHANG Zixu,YUAN Chongfu,et al.The method of choosing reaction degree when the application of the theory of quantification in gas content forecast[J].Journal of Jiaozuo Institute of Technology(Natural Science),2001,20(1):8-13.(in Chinese))
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